Gaurav Verma
CS Ph.D. student at Georgia Tech
Email: gverma@gatech.edu
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July, 2023 | Honored to be awarded the JPMorgan Chase AI Research Fellowship (2023)! [link]
May, 2023 | Excited to start as a Research Intern with Microsoft Research (FATE) in Montreal! 🍁
May, 2023 | Two papers accepted at ACL 2023 (Main and Findings), covering robustness of multimodal learning [pdf] and adversarial robustness of few-shot learning in NLP [pdf]!
Dec, 2022 | Glad to be one of the recipients of 2022 Snap Research Fellowship 👻! [link]
Nov, 2022 | Passed my Ph.D. Qualifiers at Georgia Tech; here are my slides on Robust Machine Learning for Enabling a Safe, Equitable, and Healthy Web! [slides (pdf)]
Oct, 2022 | Our work on assessing the robustness of multimodal classifiers to text dilutions has been accepted to EMNLP 2022 as a long paper! [pdf] [webpage] [arXiv] [code] [slides (pdf)]
Aug, 2022 | Wrapped up my research internship with Dr. Ani Nenkova and Dr. Ryan A. Rossi at Adobe Research. I had a wonderful time working on understanding image-text interactions!
July, 2022 | Work led by Yunhao Yuan @ Aalto University has been accepted to ICWSM 2023. We study the impact of the pandemic on online LGBTQ+ communities. [pdf]
May, 2022 | Our work on examining the causal relationship between sharing misinformation and experiencing exacerbated anxiety is out in Scientific Reports. Check out the paper here: https://www.nature.com/articles/s41598-022-11488-y.
Mar, 2022 | Our work on using multimodal learning to overcome the language disparity in online content classification has been accepted to ICWSM 2022 🎉 ! [webpage] [pdf]
Jan, 2022 | Happy to share that our work on online ban evasion has been accepted to The Web Conference 2022 🎉 ! [pdf] [dataset]
Oct, 2021 | My collaborators from Adobe Research and I received the Best Paper Runner-up Award 💐 at WISE 2021 for our work on detecting document versions [pdf, image]
June, 2021 | I was one of the winners of ICWSM-2021 Best Reviewer Award 💐
Dec, 2020 | Our work on consuming linear media (like videos) in a non-linear fashion using multimodal fragments has been accepted at IUI 2021! [pdf] [video]
Sep, 2020 | EMNLP 2020: Check out our Findings paper on using reinforcement learning for generating stylized text [arXiv] and our system description for Task 2 at W-NUT [arXiv].
July, 2020 | TechCrunch talks about #ProjectSnippets in their blog! Read it here. This tool is based on our IUI'20 paper on Generating Need Adapted Multimodal Fragments [pdf].
June, 2020 | We participated in ICWSM'20 Safety Data Challenge. Here's our paper.
Mar, 2020 | Check out our work on generating multimodal fragments being presented at this year's Adobe Summit: YouTube video! Here's what the community thinks about #ProjectSnippets! [News]
Feb, 2020 | Our exploration on estimating the causal impact of stylistic attributes on a targeted goal has been accepted at WWW 2020 as a poster! Here's the paper.
Dec, 2019 | Our work on "Generating Need-Adapted Multimodal Fragments" has been accepted at IUI 2020! Check out the paper.
Dec, 2019 | Our work on "Using Image Captions and Multitask Learning for Recommending Query Reformulations" has been accepted at ECIR 2020. Here's the paper on arXiv.
Nov, 2019 | Our work on "Adapting Language Models for Non-Parallel Author-Stylized Rewriting" has been accepted as a full paper at AAAI 2020. Here's the paper on arXiv.
Aug, 2019 | Adobe asked me a few questions on completing one year at Adobe Research [AdobeLife]
Mar, 2019 | Work on command recommendation accepted at UMAP 2019 [project page]
Feb, 2019 | Work on multimodal affective correspondence accepted at ICASSP 2019 [page]
I am a third-year Ph.D. student in Computer Science at Georgia Tech, where I am advised by Prof. Srijan Kumar. I research robust vision-language and natural language processing models [ACL'23(a)] [ACL'23(b)] [EMNLP'23] [EMNLP'22], while addressing problems that impact safety [WWW'22], equity [ICWSM'22], and well-being [SciRep'22].
My technical research interests include: large {vision-language/language} models, multimodal deep learning, natural language processing, and computational social science. At Georgia Tech, I also collaborate closely with Prof. Munmun De Choudhury. I am honored to be supported by the JP Morgan AI PhD Fellowship and Snap Research Fellowship. [ 📄 CV (pdf)]
In Summer 2023, I was a research intern at Microsoft Research (FATE), mentored by Dr. Alexandra Olteanu, Dr. Su Lin Blodgett, and Dr. Koustuv Saha, where I investigated LLM-based generative search systems. Previously, I was a research intern at Adobe Research (Summer 2022) where I was mentored by Dr. Ani Nenkova and Dr. Ryan A. Rossi. I worked on modeling text visualness using large vision-language models.
Outside of Computer Science, I am also interested in Science, Technology, and Innovation Policy. I am pursuing a minor in the School of Public Policy at Georgia Tech, where I work with Prof. Philip Shapira and Prof. Barbara Ribeiro on studying how Artificial Intelligence technologies contribute to public values. [AI 🤝 Policy]
I completed my undergraduate studies at the Indian Institute of Technology Kanpur. At IIT Kanpur, I worked with Prof. Tanaya Guha on learning modality-independent representations for affective analysis and retrieval of multimedia. Before starting my doctoral studies at Georgia Tech, I was at Adobe Research (India), where I worked on a wide range of research projects, like stylistic analysis and generation, multimodal content synthesis, and search query construction. I am a co-inventor of several patented/patent-pending technologies, including #ProjectSnippets (TechCrunch). Please see the Publications page for more details on published papers and patents.
Recent Awards:
• JP Morgan AI Ph.D. Fellow (2023)
• Snap Research Fellow 👻 (2022)
• College of Computing Rising Star Doctoral Student Research Award (2022)
• Adobe Research Ph.D. Fellowship Finalist (2022)
• Best Paper Runner-up Award at WISE 2021
• AAAI ICWSM-2021 Best Reviewer Award
Academic Service: Program Committee Member/Reviewer for:
Journals: ACM Transactions on Computer-Human Interaction (TOCHI), IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Data Mining and Knowledge Discovery
Conferences: AAAI (2022, 2023, 2024), ACL 2023, NeurIPS (2023: Ethics reviewer), CHI 2023 (💐 Special Recognition for Outstanding Reviews), KDD 2023, TheWebConf (2022, 2023, 2024), ACL Rolling Review, EMNLP (2021, 2022, 2023), ACL-IJCNLP 2021, ICWSM (2021: 💐 Best Reviewer Award, 2022), ACII 2021, CODS-COMAD 2022, and ECIR 2020.
Apart from research, I love to spend most of my time reading books (📚). I also have some affinity for sports – basketball (🏀) and table tennis (🏓). The quickest way to get in touch would be through email (📧). I am also somewhat active on Twitter. More details are available in the Contact section.
